Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Abstract Most of the existing algorithms for simplifying triangular meshes might lose some important shape features of the original model, especially at low levels of the simplifie...
Data streams are modeled as infinite or finite sequences of data elements coming from an arbitrary but fixed universe. The universe can have various built-in functions and predi...
Abstract-- Image computation is the core operation for optimization and formal verification of sequential systems like controllers or protocols. State exploration techniques based ...
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...